Machine Learning courses

1334 Courses

H2O ai Large Language Models (LLMs) - Level 1

Embark on your journey with Large Language Models (LLMs) through our Level 1 course, crafted for both novices and individuals with some machine learning background. Gain a deep understanding of critical concepts and techniques in language modeling, guided by Andreea Turcu, an AI education specialist from H2O ai. Discover the essence of langu.
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H2O Gen AI Ecosystem Overview - Level 1

Immerse yourself in the H2O GenAI ecosystem with the Ecosystem Overview - Level 1 course. This comprehensive course introduces you to the powerful tools and techniques of the H2O GenAI ecosystem, guided by Andreea Turcu, Head of Global Training at H2O.ai, along with guest lectures from expert H2O.ai Makers. Explore the following key areas:.
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Sentiment Analysis with NLP using Python and Flask

Embark on an enlightening journey with the "Sentiment Analysis with NLP using Python and Flask" course offered by Udemy. This course encompasses the enticing domains of Sentiment Analysis and Natural Language Processing (NLP), fortified by Python and Flask, providing a hands-on project to solidify your learning. As you delve into this course,.
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Engineering Responsible AI

Engage deeply with the core principles and practices essential for developing responsible AI systems in this insightful course offered by Tsinghua University through XuetangX. Discover the key ethical considerations and fairness metrics necessary to create equitable AI solutions. Explore strategies for bias mitigation, understand the importa.
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H2O Gen AI Ecosystem Overview - Level 2

Expand your understanding of H2O's GenAI platform with the Ecosystem Overview - Level 2 course, presented by H2O's Sanyam Bhutani. This course offers an in-depth exploration of tools, applications, and methodologies designed for AI and ML within the H2O ecosystem. You'll learn efficient data preparation techniques, advanced model training, dep.
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Foundations of AI and Machine Learning

Foundations of AI and Machine Learning Course - Coursera Enroll in the Foundations of AI and Machine Learning course on Coursera, designed to offer a deep dive into the essential components of AI & ML infrastructure. This comprehensive program covers key aspects such as data pipelines, model development frameworks, and deployment platforms, e.
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Aprenda Programação em Python 3 do Zero com Facilidade

Domine a arte da programação em Python 3 com nosso curso abrangente e acessível. Este curso está repleto de exercícios práticos e projetos desafiadores para ajudá-lo a ganhar confiança e habilidade. Além disso, como um bônus especial, você terá a oportunidade de explorar o mundo do Machine Learning supervisionado usando Python. Oferecido pela.
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分布式数据系统应用实战-进阶

本课程是大数据与人工智能相关的通识课,不涉及信息类专业知识的精通掌握。专业受众广泛,以注重实践应用和产教融合为特色,在国内外都具有一定创新性。基于开源分布式数据库(以开源的基于PostgreSQL的PB级分布式数据库Greenplum为例展开),以基本的大数据处理、分析及机器学习为目标,不涉及复杂的数据库应用开发和内核开发。帮助学习者了解大数据分析技术发展历程和.
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ChatGPT4 Mega Course: Work, Business and Programming

Unearth the potential of AI with the ChatGPT4 Mega Course offered by Udemy. This extensive program takes you on a journey through the realms of artificial intelligence applications, development, and innovation, designed to cater to individuals striving to excel in work, business, and programming. Delve into multiple categories including:.
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Learn Machine learning & AI [Beginner to advanced content]

Embark on your journey to master Machine Learning and Artificial Intelligence with our expertly designed course, perfect for beginners and advanced learners alike. Offered through Udemy, this program provides an in-depth understanding of crucial AI and Machine Learning concepts. What sets this course apart is its focus on hands-on projects, desi.
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More and more products are now being developed using artificial intelligence. To avoid being left on the sidelines of progress, managers must understand how the robot’s “brains” work

Artificial intelligence (AI) and machine learning technologies have been used for many years, but now the intensity of their use has increased significantly. For example, machine learning is being actively implemented in telecommunications, retail, marketing and e-commerce. But many still do not fully understand what it is.

Machine learning involves the system processing a large number of examples, during which it identifies patterns and uses them to predict the characteristics of new data. In other words, this is the process of giving AI ml courses “consciousness”, the ability to remember and analyze.

Machine learning use cases

The use of machine learning has touched many areas in our lives. Let's look at the most striking examples of the use of computer intelligence:

Facial recognition in the subway will help identify violators or criminals in a huge mass of people. Ordinary observers cannot cope with this task. But a fast-learning machine will do this job without any problems.

What do you need for machine learning (ML)?

For those interested in training, there are several requirements to be met in order to be successful in this field. So, there are the main points you need to know about the machine learning course. These requirements include:

  1. Basic knowledge of programming languages such as Python, R, Java, JavaScript, etc.

  2. Average knowledge of statistics and probability.

  3. Basic knowledge of linear algebra in the ml course. In a linear regression model, a line is drawn through all the data points, and that line is used to calculate new values.

  4. Understanding Calculus.

  5. Knowledge of how to clean and structure raw data into the desired format to reduce the time required for decision making.

Machine learning courses from AI Eeducation are the best choice!